{"url":"/task/micro-action-recognition","name":"Micro-Action Recognition","slug":"micro-action-recognition","description_markdown":"Micro-action is an imperceptible non-verbal behaviour characterised by low-intensity movement. It offers insights into the feelings and intentions of individuals and is important for human-oriented applications such as emotion recognition and psychological assessment. However, the identification, differentiation, and understanding of micro-actions pose challenges due to the imperceptible and inaccessible nature of these subtle human behaviors in everyday life.","categories":[{"name":"Computer Vision","url":"/area/computer-vision"},{"name":"Time Series","url":"/area/time-series"}],"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","slug_source":"archive_url"},"counts":{"papers_tagged":6,"papers_with_code":5,"benchmarks":1,"benchmark_tables_in_archive":1,"benchmark_tables_shown":1,"benchmark_tables_withheld_as_spam":0,"benchmark_definition":"a leaderboard table with at least one row; benchmark_tables_shown also counts the zero-row tables; benchmark_tables_in_archive adds the tables withheld as spam","datasets":1,"subtasks":0,"parent_tasks":1},"benchmarks":[{"leaderboard":"/sota/micro-action-recognition-on-ma-52","slug":"micro-action-recognition-on-ma-52","dataset":"MA-52","dataset_url":"/dataset/ma-52","rows_in_archive":2,"metrics":["F1_mean","Top-1 Acc [Action]"],"first_row_in_archive_order":{"model":"PCAN","paper_title":"Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition","paper_url":"/paper/prototypical-calibrating-ambiguous-samples","paper_date":"2024-12-19","arxiv_id":"2412.14719","code_links":[{"title":"vut-hfut/micro-action","url":"https://github.com/vut-hfut/micro-action"},{"title":"kunli-cs/pcan","url":"https://github.com/kunli-cs/pcan"}],"syntology":null}}],"datasets":[{"url":"/dataset/ma-52","name":"MA-52","full_name":"Micro-Action 52 dataset","num_papers_in_archive":4}],"subtasks":[],"parent_tasks":[{"url":"/task/action-recognition-in-videos","name":"Action Recognition"}],"papers":{"order":"repositories listed in the archive (desc), then date (desc); the archive holds no stars","population":"papers tagged with this task that list at least one repository in the archive","shown":5,"of":5,"tagged_in_all":6,"items":[{"url":"/paper/temporal-shift-module-for-efficient-video","title":"TSM: Temporal Shift Module for Efficient Video Understanding","date":"2018-11-20","arxiv_id":"1811.08383","repositories_listed":13,"syntology":{"n":16,"n_ran":6,"n_unverified":10,"n_pointer_only":4}},{"url":"/paper/temporal-segment-networks-for-action","title":"Temporal Segment Networks for Action Recognition in Videos","date":"2017-05-08","arxiv_id":"1705.02953","repositories_listed":11,"syntology":null},{"url":"/paper/prototypical-calibrating-ambiguous-samples","title":"Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition","date":"2024-12-19","arxiv_id":"2412.14719","repositories_listed":2,"syntology":null},{"url":"/paper/benchmarking-micro-action-recognition-dataset","title":"Benchmarking Micro-action Recognition: Dataset, Methods, and Applications","date":"2024-03-08","arxiv_id":"2403.05234","repositories_listed":1,"syntology":{"n":2,"n_ran":1,"n_unverified":1,"n_pointer_only":2}},{"url":"/paper/detailed-2d-3d-joint-representation-for-human","title":"Detailed 2D-3D Joint Representation for Human-Object Interaction","date":"2020-04-17","arxiv_id":"2004.08154","repositories_listed":1,"syntology":{"n":12,"n_ran":0,"n_unverified":12,"n_pointer_only":0}}],"syntology_records":3,"syntology_note":"a paper without a record is not a recorded non-run: it may lack an arXiv id or simply be absent from the graph layer"},"description_links":{"kept":0,"unwrapped_to_text":0,"bare_urls_linked":0,"relative_images_dropped":0,"rule":"internal links are kept only when the target slug exists in the catalog"},"syntology":{"read_at":"2026-09-24T18:15:14+00:00","claim":"Per-sample execution status on synthesized fixtures ('ran N of M samples'); not a correctness claim and not a ranking signal.","status_vocabulary":{"ran_honours":"ran, honoured the contract we drafted","ran_violates":"ran, violated the contract we drafted","ran_draft_wrong":"ran; our contract draft was wrong, not the code","ran_fixture":"ran; our fixture could not drive it","ran":"ran on a synthesized input","unverified":"unverified (harvested, no recorded run)"}},"not_shown":{"libraries":"the archive has no per-task library table","trend_sparklines":"the Trend column of the benchmarks table was a rendered image; it is not in the archive","social_and_latest_sorts":"stars and social signals are not in the archive"}}